machine_learning_complete VS event-transcripts

Compare machine_learning_complete vs event-transcripts and see what are their differences.

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machine_learning_complete event-transcripts
2 1
4,501 36
- -
5.9 9.0
7 months ago 4 days ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

machine_learning_complete

Posts with mentions or reviews of machine_learning_complete. We have used some of these posts to build our list of alternatives and similar projects.

event-transcripts

Posts with mentions or reviews of event-transcripts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-29.

What are some alternatives?

When comparing machine_learning_complete and event-transcripts you can also consider the following projects:

embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

CardMap - Code to plot cardmarket orders on a map to show where my MtG cards ended up

PtitPrince - python version of raincloud

Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.

artificial-intelligence - AI projects in python, mostly Jupyter notebooks.

awesome-data-centric-ai - Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖

blog - SZÉKELYDATA | Erdély, Székelyföld és a nagyvilág a Big Data korszakában

Coincap-Api-Data_Analysis - Analyzing Cryptocurrency Price Trends: A Study of 5 Coins from the CoinCap API

code - Compilation of R and Python programming codes on the Data Professor YouTube channel.

data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera

tensor-sensor - The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.